Lead – Data Science

Airoli , Navi Mumbai
Job posted on
Experience range
6 Years
Work Mode

Job description

As a Lead Data Scientist at GeBBS, you will drive NLP and machine learning projects and be responsible for developing methodology and solutions to support technical, analytical, and operational requirements.

  • 6+ years of experience working in the data science field, preferably in a product development environment, with a focus on building NLP/LLMs or Deep Learning models.
  • 2+ years of experience in managing data science teams as a lead or a mentor
  • Strong programming skills in Python or other relevant programming languages.
  • Experience with machine learning libraries (e.g., sci-kit-learn, TensorFlow, PyTorch).
  • Deep understanding of statistical analysis, probability theory, and experimental design.
  • Experience with LLMs, deep learning, NLP, and chatbot development.
  • Excellent communication skills, including the ability to explain complex concepts to technical and non-technical stakeholders.
  • Experience working with a variety of statistical models, including logistic regression, clustering, classification, SVMs, neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc.
  • Expertise in NLP techniques, including sentiment analysis, word embedding, part-of-speech (POS) tagging, topic modeling, text classification, machine translation, speech recognition, named entity recognition (NER), natural language generation (NLG), and other related techniques.
  • Experience with various deep learning techniques, including CNNs and RNNs, and a strong understanding of building and training these models for different applications. Familiarity with LMs and LLMs such as GPT, BERT, and Transformer models is highly desirable.
  • Strong ability to rapidly comprehend and implement research papers related to AI, as well as remain informed of the latest advancements in NLP technologies.
  • Deep knowledge and experience in structured and unstructured data Information Extraction, Knowledge Information Retrieval, and Knowledge Representation.
  • Self-motivated and driven to satisfy intellectual curiosity through the pursuit of continuous learning and skill development.
  • Strong problem-solving and analytical skills.
  • Optional: Experience with large-scale data processing technologies (e.g., Hadoop, Spark) and distributed computing systems.

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